A fair power allocation in dual function radar and communication systems

The dual function radar and communication technology plays a crucial role in Internet of Vehicles. However, fewer studies have focused on optimizing the joint performance of sensing and communication in full-duplex Internet of Vehicles while considering fairness. Therefore, this paper considers the scenario that the full-duplex gNB employs dual function radar and communication technology to simultaneously achieve vehicle localization and communication with multiple half-duplex vehicles. By leveraging a reasonable beamforming scheme to mitigate the residual self-interference of the echo signal, an optimization problem that maximizing the joint performance metric of sensing and communication is formulated with limited power at the gNB. After problem transformation, a double descent iteration power allocation algorithm is proposed to solve the non-convex optimization problem and the complexity of the algorithm is analysed. Simulation results demonstrate that the proposed algorithm converges and could fairly improve both the sensing and communication performance.